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Similar Publications

Purpose: To use swept-source optical coherence tomography angiography (SS-OCTA) to investigate the alterations in retinal vascular density (VD) in patients presenting with congenital unilateral trochlear nerve palsy.

Methods: The medical records of patients diagnosed with congenital unilateral trochlear nerve palsy and those of a healthy control group were reviewed retrospectively. Comprehensive ocular examinations and SS-OCTA imaging were conducted.

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: Amblyopia is a condition where children undergo unilateral or bilateral vision loss due to a variety of disorders that impact the visual pathway. The assessment of retinal nerve fiber layer (RNFL) thickness in amblyopia has made optical coherence tomography (OCT) a useful technique for studying the pathophysiology of this condition. This study was conducted to assess OCT results for various forms of amblyopia, including macular thickness and peripapillary RNFL thickness.

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Glaucoma is a neurodegenerative disease characterized by the loss of retinal ganglion cells (RGCs), with intraocular pressure (IOP) being its primary risk factor. Despite controlling IOP, the neurodegenerative process often continues. Therefore, substances with neuroprotective, antioxidant, and anti-inflammatory properties could protect against RGC death.

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Analysis of choroidal markers of activity in pachychoroid disease spectrum.

Graefes Arch Clin Exp Ophthalmol

January 2025

Londrina State University, Avenida Robert Koch, 60, Londrina, CEP 86038-440, Paraná, Brazil.

Purpose: To detect choroidal markers of disease activity in eyes with chronic active unilateral pachychoroid disease spectrum (PDS) compared to the non-active contralateral eyes, based on multimodal imaging and particularly indocyanine green angiography (ICGA).

Methods: An observational retrospective case-control study. The study evaluated individuals diagnosed with chronic active unilateral PDS (group 1) by comparing the eyes with the non-active fellow eyes (group 2).

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Predicting branch retinal vein occlusion development using multimodal deep learning and pre-onset fundus hemisection images.

Sci Rep

January 2025

Department of Ophthalmology, Gangnam Severance Hospital, Institute of Vision Research, Yonsei University College of Medicine, 211, Eonjuro, Gangnam-gu, Seoul, 06273, Republic of Korea.

Branch retinal vein occlusion (BRVO) is a leading cause of visual impairment in working-age individuals, though predicting its occurrence from retinal vascular features alone remains challenging. We developed a deep learning model to predict BRVO based on pre-onset, metadata-matched fundus hemisection images. This retrospective cohort study included patients diagnosed with unilateral BRVO from two Korean tertiary centers (2005-2023), using hemisection fundus images from 27 BRVO-affected eyes paired with 81 unaffected hemisections (27 counter and 54 contralateral) for training.

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